影像診斷的人工智能:2024年

人工智慧 (AI) 正在以無數方式影響醫療保健，包括對診斷影像的影響。這是由於對視覺檢查的依賴增加、對程式的需求增加、每次掃描所需的數據分析增加、錯誤/成本減少以及使人工智慧引導決策更加實用的特定計算工具的發展。

基於人工智慧的應用正在對放射學市場產生重大影響。近年來，人工智慧在診斷影像領域做出了巨大貢獻。這些貢獻對臨床決策支援、醫院營運工作流程和監管機構都有影響。

本報告調查了診斷成像中的人工智慧市場、人工智慧的進步如何影響醫療診斷成像市場、人工智慧在診斷成像中的引入以及診斷成像領域的主要公司。家影像診斷AI相關企業的簡介。

目錄

概要

• 影像診斷的人工智能:2024年

摘要整理

人工智慧在影像診斷中的引入

• 2024 年放射線學的用途
  • 工作流程
  • 臨床決策支援與影像分析
• 放射學大語言模型 (LLM)
  • 法學碩士在放射學領域的應用
• 多模態人工智慧模型與影像診斷

人工智慧研究與診斷影像的臨床進展

• 透過引進人工智慧來推動 PACS 和企業系統的發展

各種模式的人工智慧原始資料

• 較早引進人工智慧在放射學領域的應用
• 人工智慧應用中放射學用例的優先順序
• 人工智慧的考慮與使用

人工智慧在放射科的業務現況

• 新聞重點報導的人工智慧軟體公司
• 診斷影像公司人工智慧領域的領導者
  • GE Healthcare
  • Siemens Healthineers
  • Philips Healthcare
• AI領域的科技企業領導者
• 影像AI相關企業簡介
  • Braid Health
  • CellmatiQ GmbH
  • Covera Health
  • Diagnocat
  • DilenyTech
  • Dr CADx
  • Dyad Medical, Inc.
  • GLEAMER
  • Hasty.ai
  • HeartLab
  • Hexarad Ltd
  • Imagerie.fr
  • Intixel
  • Intelligent Retinal Imaging Systems - IRIS Pensacola, Florida
  • MARS Bioimaging Ltd
  • Mediwhale Olea Medical
  • Persimio
  • Promedius Inc.
  • Quantivly
  • Qubiotech
  • Quibim
  • Rology
  • ROB'E
  • RT MEDICAL SYSTEMS
  • Synapsica

AI法規

• 人工智慧市場審批流程
• 來自世界其他地區的人工智慧合作者

結論

Artificial intelligence (AI) is influencing healthcare in countless ways, and its impact on diagnostic imaging is one of the greatest. This is due to the dependence on visual examination, demand for increased procedures, more data analysis required per scan, error/cost reduction, and the development of specific computing tools that make AI-guided decisions far more practical.

Artificial intelligence based applications are having a significant impact on the radiology marketplace. In recent years there have been significant contributions from AI to the field of diagnostic imaging. These contributions have impacted clinical decision support, hospital operations workflows and regulation agencies. This report summarizes these changes and highlights specific examples of clinical and technical innovations that are impacting specific imaging modalities such as MR, CT, Ultrasound, X-ray and PET.

The report also consolidates AI survey data from 2022 through 2024 from selected reports from our Market Outlook report series and provides a summary of industry perceptions and use case preferences of AI in aggregate as well as broken out by modality and site type.

In addition, the report summarizes major developments from leading companies in the diagnostic imaging field as well as provides a profile of over 130 companies that are involved in the AI in diagnostic imaging industry.

Key Topics Covered in the Report are:

• AI Adoption in Diagnostic Imaging
• AI Research and Clinical Advances in Imaging
• AI Primary Data Across Modalities
• Business Landscape of AI in Radiology
• AI Regulation

This report is ideal for anyone interested in learning more about how advancements in artificial intelligence are impacting the medical diagnostic imaging market. It is a great resource for:

• Marketing Managers
• Product Managers
• Marketing Directors
• Sales Managers
• Analysts

Basically, anyone that works in diagnostic imaging equipment manufacturing, hospital and healthcare systems, consulting, investment or finance. This report is a great way to get a quick overview of recent developments and help to plan for what lies ahead.

TABLE OF CONTENTS

OVERVIEW

• The 2024 Artificial Intelligence in Diagnostic Imaging Landscape

EXECUTIVE SUMMARY

AI ADOPTION IN DIAGNOSTIC IMAGING

• Radiology Department Uses in 2024
  • Workflow
  • Clinical Decision Support & Image Analysis
• Large Language Models (LLM) in Radiology
  • Use of General LLMs in Radiology
• Multimodal AI Models & Diagnostic Imaging

AI RESEARCH & CLINCIAL ADVANCES IN IMAGING

• PACS & Enterprise System Evolution with AI Adoption

AI PRIMARY DATA ACROSS MODALITIES

• Early Adoption of AI Applications in Radiology
• Prioritization of Radiology Use Cases for AI Applications
• AI Consideration and Usage

BUSINESS LANDSCAPE OF AI IN RADIOLOGY

• AI Software Companies in the News
• Diagnostic Imaging Company Leaders in AI
  • GE Healthcare
  • Siemens Healthineers
  • Philips Healthcare
• Technology Company Leaders in AI
• Profiles of Companies Involved in Imaging AI
  • Braid Health
  • CellmatiQ GmbH
  • Covera Health
  • Diagnocat
  • DilenyTech
  • Dr CADx
  • Dyad Medical, Inc.
  • GLEAMER
  • Hasty.ai
  • HeartLab
  • Hexarad Ltd
  • Imagerie.fr
  • Intixel
  • Intelligent Retinal Imaging Systems - IRIS Pensacola, Florida
  • MARS Bioimaging Ltd
  • Mediwhale
  • Olea Medical
  • Persimio
  • Promedius Inc.
  • Quantivly
  • Qubiotech
  • Quibim
  • Rology
  • ROB'E
  • RT MEDICAL SYSTEMS
  • Synapsica

AI REGULATION

• AI Market Approval Processes
  • FDA and AI Regulation
  • FDA AI Program Approvals
  • CE Mark and AI
• Other Global AI Collaborators
  • Good Machine Learning Practice (GMLP)

CONCLUSION